AI Application Builder / Codex Product Developer
Location
India
Posted
25 days ago
Salary
0
Seniority
Mid Level
Job Description
AI Application Builder / Codex Product Developer
Addiction Pet Foods
Role Description We are looking for a fast, practical, and product-minded software builder who can rapidly develop internal business applications using AI-assisted development tools such as Codex, Claude, ChatGPT, GitHub Copilot, and modern low-code, no-code, or full-code frameworks. This role is ideal for someone with around 2-5 years of software, product development, business systems, or application-building experience. You do not need to be the most senior programmer, but you must have enough technical ability, initiative, and product sense to take a business problem, understand the user need, and quickly turn it into a working application or prototype. We need someone who can move fast, think independently, ask good questions, use AI tools effectively, and build, test, improve, and deploy useful internal tools. Key Responsibilities - Build practical internal business applications for areas such as finance, production, marketing, logistics, quality assurance, reporting, approvals, and workflow management. - Use AI-assisted development tools such as Codex, Claude, ChatGPT, GitHub Copilot, Cursor, Replit, Lovable, Bolt, or similar tools to speed up development. - Work with business users to understand pain points, manual work, reporting gaps, and operational bottlenecks. - Translate business problems into simple, useful application requirements and working solutions. - Rapidly create prototypes, test with users, collect feedback, and improve applications. - Connect applications to spreadsheets, databases, APIs, ERP exports, cloud storage, or other internal systems. - Test applications, troubleshoot issues, improve usability, and support deployment to internal users. - Build applications that are practical, usable, maintainable, and focused on solving real business problems. Qualifications - Around 2-5 years of experience in software development, product development, business systems, or application building. - Coding experience with JavaScript, TypeScript, Python, React, Next.js, or similar tools. - Experience building web applications, dashboards, internal tools, automations, or workflow systems. - Strong interest in AI-assisted software development using tools such as Codex, ChatGPT, Claude, GitHub Copilot, or similar. - Ability to understand business requirements and convert them into practical application features. - Strong problem-solving skills and willingness to learn quickly. - Ability to work independently and execute without excessive supervision. - Good communication skills, especially when explaining technical matters to non-technical users. - Strong attention to detail when testing applications and handling business data. Preferred Skills - Experience with Supabase, Firebase, PostgreSQL, Airtable, Google Sheets, Microsoft 365, OneDrive, SharePoint, SAP exports, Shopify, Xero, or similar systems. - Experience with API integrations, dashboards, reporting tools, or business intelligence systems. - Experience with ERP, accounting, manufacturing, e-commerce, or operational systems. - Experience deploying applications through platforms such as Vercel, Netlify, Railway, Render, or similar. - Understanding of product management, UX, workflow design, or process improvement. What We Are Looking For We are looking for someone who is fast, curious, practical, independent, and action-oriented. You should be comfortable using AI tools as a development partner, not just as a search tool. You must be able to understand real business problems, create structure from rough ideas, and deliver working solutions quickly. What We Are Not Looking For This role is not suited for someone who needs constant step-by-step guidance, only follows instructions without understanding the user need, or only knows how to prompt AI but cannot understand, test, or troubleshoot code. We are also not looking for someone who only builds demos but cannot turn them into usable business tools. Example Projects - Daily profitability dashboard using financial and operational data. - Finance month-end close workflow tracker. - Quality complaint investigation and response tool. - Marketing task, KPI, and campaign management system. - Payment approval tracking system. - Internal AI knowledge base connected to company documents. Application Requirements - A short summary of their software or product development experience. - Examples of applications, dashboards, tools, automations, or prototypes they have built. - Details of any AI-assisted development tools they have used. - A brief explanation of how they would approach building internal business applications quickly. - Links to GitHub, portfolio, deployed apps, or relevant project examples, where available.
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Role Description You'll work with and bring opinions on choosing between the following: - LLM Providers & APIs: Anthropic Claude (primary), OpenAI, AWS Bedrock - Local / Self-Hosted LLMs: Ollama, LM Studio, llama.cpp, vLLM; open-weight model families (Llama, Qwen, Mistral, etc.) - Agent Frameworks: LangChain / LangGraph, LlamaIndex, OpenAI Agents SDK, or equivalent - Retrieval & Knowledge: Vector databases (Pinecone, Weaviate, pgvector); RAG, cache-augmented generation, tool-based agentic retrieval, GraphRAG, hybrid approaches - Voice AI: ElevenLabs, VAPI, LiveKit, Deepgram - LLM Observability & Eval: LangSmith, Braintrust, Phoenix, Helicone, or similar - AI-Assisted Development: Claude Code - RouteGenie Stack: Python, Django, PostgreSQL, Angular, TypeScript Qualifications - Experience: 3+ years of software engineering experience. - Production AI: 1+ year hands-on experience with production LLM / AI features shipped to real users (not prototypes or coursework). - Languages: Strong Python skills; comfort with TypeScript. - Frameworks: Hands-on experience with at least one agent framework and multiple retrieval/context-augmentation approaches. - APIs: Production experience with major LLM provider APIs from our Tech Stack. - Architectural Judgment: Sound judgment on AI architecture choices. Ability to select the right model and execution environment against cost, latency, accuracy, and data-residency constraints. - Quality Measurement: Demonstrated experience measuring AI feature quality in production. - Communication: Working professional English; strong async written communication for collaboration across Mexico, Europe, and US time zones. Requirements - Voice AI: Experience with Voice AI. NEMT dispatch and customer-service flows are voice-heavy, and voice agents will be a major product surface. - Regulated Data: Experience in a healthcare or regulated-data context (HIPAA, PII/PHI handling). - Self-Hosting: Local / self-hosted LLM experience running open-weight models on-prem or in a VPC. - Anthropic Ecosystem: Claude API / Anthropic SDK experience — including Claude-specific patterns. Preferred (Nice-to-Have) - LLM observability / eval tooling experience (LangSmith, Braintrust, Phoenix, Helicone, or similar). - Cost and latency optimization at LLM scale (prompt caching, model routing, token budgeting). - Traditional ML / data science background (model training, feature engineering, evaluation methodology). - Django / PostgreSQL background. - Multi-tenant SaaS experience. - Open-source AI contributions or public agent projects.
Application Security Engineering Manager
SynthesiaCreate studio-quality videos with AI avatars and voiceovers in 140+ languages. Trusted by Reuters, BBC, Amazon and more.
• Lead, support, enable and grow the AppSec team — owning hiring, onboarding, performance, and career development for a team of Senior and Staff-level Security Engineers. Important to understand: we're not looking for someone to dictate the roadmap or daily activities of the team. What we need is someone to enable the team to do what needs doing and to give them the best possible environment to do it in. • Own the formalisation of AppSec strategy and roadmap, translating team input, business risk and engineering context into a clear, prioritised programme of work with measurable outcomes. • Be a credible technical partner to your team — able to engage substantively on threat models, security architecture, agentic tooling design, and risk decisions, and willing to get into the details when it matters. • Define and maintain the team's operating rhythm: OKRs, quarterly planning, cross-team coordination, and stakeholder communication up to leadership. • Act as a key interface between AppSec and the rest of the organisation and leadership — building relationships with business leadership, engineering leads, the Developer Platform team, Architecture Working Group, and partner functions like Legal and Moderation, to embed security into how Synthesia builds. • Participate in maintaining and evolving Synthesia's approach to AI-assisted development security, including how we secure our own use of agentic coding tools and how we assess the security of AI-generated code. • Own AppSec's relationship with the broader Security function, ensuring tight alignment between AppSec and other Infosec teams on shared risks, incidents, and cross-cutting initiatives. • Represent AppSec externally where relevant — with customers, auditors, and in the context of compliance programmes such as SOC2 and ISO42001.
• Develop technical relationships with target accounts • Help win new Client and Server opportunities by working with partners and end customers by establishing technical solutions based on AMD technology • Work with AMD internal teams across the Client and Server Business Units to influence/build technical presentations and documentation to be delivered • Support priority pipeline opportunities, working directly with partners and end-customers to optimize workloads and applications on AMD-based solutions • Deliver technical presentations, training, and sales pitches to influence new AMD sales with partners and customers • Provide technical assistance to NA sales personnel and the end customer in the evaluation, design and development of AMD based Client and Server solutions • Build business and technical acumen, enabling AMD to gain further "Mindshare" within the customer base • Technically qualify and prioritize sales opportunities utilizing AMD resources • Engage and manage relationships with partner & customer technical resources • Partner with sales in determining possible application of AMD based products and solutions to meet customer requirements • Perform technical presentations, training and updates for partners and prospects • Translate partner & customer business challenges and requirements into solution by way of creating opportunities through engagements that best leverage AMD based product offerings • Possess a solid understanding of the competitive landscape and clearly articulate the technical differentiation and value proposition associated with AMD versus its competitors • Assist with the solution development/architectural design to meet specific customer needs • Analyze AMD product solutions and evaluate product performance based on customer needs • Keep up to date on relevant competitive solutions and work with internal teams to provide competitive responses where needed • Articulate AMD based technology offerings across multiple verticals • Install and test solutions, as required, to ensure successful deployments and evaluations • Provide hands-on, expert-level technical assistance to partner and end customer
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